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Research questionHow can self-replication and computational function coevolve in random digital programs under resource pressure?In a digital population, reproduction is not built in: programs must discover it through mutations and interactions while retaining enough structure to solve tasks. Selection for task performance and runtime efficiency can therefore alter which reproductive architectures persist, making the emergence of both capabilities interdependent.
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Neural and Evolutionary Computing
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Latest papersRecent research connected to this question, newest first.Coevolution of self-replication and function in a digital primordial soupThe evidence concerns populations of random 32-byte Z80 assembly programs, with self-replication arising through random assembly-level mutation and pairwise interactions. A task-based validation rewards correct polynomial evaluation by increasing interaction probability above baseline; experiments also examine runtime penalties and interconnected task niches. The reported results are specific to this digital experimental setting.research paper · Sep 2, 2026
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